The era of big data has produced a large amount text data. Due to the different sources and complexity generation process, heterogeneous structure. Combining several latest machine learning methods with hierarchical technology, algorithm for heterostructure can improve accuracy classification. Empirical analysis shows that our significant effect on improving classification accuracy. Based groun...

<p>Social media was a proof of the rapid development in information technology. It line with appearance slang words formed by its users. Most social users were teenagers. The vacabulary creation language linguistics creativity media’s mostly This research aimed to identify form found instagram feeds and comments column. data collected using observation methods screenshot note taking techn...

In this paper we describe the participation of the Language and Reasoning Research Group of UAM Cuajimalpa at eRisk 2017 pilot task: Early Risk Prediction on the Internet. The goal of the eRisk task consists in detecting with enough anticipation cases of depression on texts. For evaluating this task, organizers provided a dataset containing comments from a set of Social Media users. All comment...

IT-based innovation contests are making use of distributed knowledge of users and other external stakeholders to collect ideas or to let them develop innovations for new products and services. In addition, IT-based innovation contests increasingly offer functionalities to evaluate and comment the submissions of other participants. Whether this feedback proves to be useful to enhance the quality...

We examine whether accounting methods atypical within an industry affect analysts’ forecasts of future performance for a firm. Following a rich literature on accounting methods, our objective is to contribute evidence on the extent to which accounting method variability impacts information processing activities of financial statement users. We construct an index that measures how different a fi...

We explore linguistic and behavioral features of dogmatism in social media and construct statistical models that can identify dogmatic comments. Our model is based on a corpus of Reddit posts, collected across a diverse set of conversational topics and annotated via paid crowdsourcing. We operationalize key aspects of dogmatism described by existing psychology theories (such as over-confidence)...

The paper presents the research findings on behavior of users social network Facebook, in circumstances a crisis situation and declaration state emergency. By combining media content analysis, modified netnographic approach pseudo-survey techniques, author seeks to determine extent manner which emergency Republic Srpska has affected its citizens. results show that led reduction number events re...

A contemporary debate in media studies concerns participation and empowerment, and to what extent digital media shift power to the citizens. This study assesses the long-term viability of participatory journalism using Swedish content and user data. Inclusion of comments and blog-links on news sites increased from 2007 to 2010, and decreased rather dramatically from 2011 onward. Posting user co...

We have been studying methods to personalize system utterances for users in casual conversations. We know that personalization is important, but no wellestablished way to personalize system utterances for users has been proposed. In this paper, we report the results of our experiment that examined how humans personalize utterances when speaking to each other in casual conversations. In particul...